Senior DevOps Engineer-Cloud Engineer-Cloud DevOps Engineer

2 days ago

Pune, Maharashtra, India EXL Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Description

Job Description:
We are seeking a highly skilled Senior Data Engineer with strong expertise in Azure data ecosystem, Snowflake, and modern data transformation frameworks. The ideal candidate will have extensive hands-on experience in Azure Data Factory, DBT, SQL, and Azure DevOps, with a solid understanding of CI/CD implementation for data pipelines. Excellent communication skills and the ability to collaborate effectively with cross-functional teams are essential.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Azure Data Factory, DBT, and Snowflake.
  • Build and optimize SQL queries, data models, and transformations for analytics and reporting.
  • Implement and manage CI/CD pipelines in Azure DevOps to support automated deployment of data workflows.
  • Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver high-quality solutions.
  • Optimize data pipeline performance, reliability, and scalability across cloud environments.
  • Ensure best practices in coding standards, version control, testing, and documentation.

Required Skills & Qualifications:

  • 7+ years of professional experience in data engineering or related roles.
  • Strong hands-on experience with Azure Data Factory (ADF).
  • Proficiency in DBT for transformations and modeling.
  • Advanced knowledge of SQL and data warehousing concepts.
  • Experience working with Snowflake as a cloud data platform.
  • Strong exposure to Azure DevOps, particularly CI/CD pipelines for data deployments.
  • Solid understanding of cloud architecture and data integration patterns.
  • Excellent communication, problem-solving, and collaboration skills.

Preferred Qualifications (Optional):

  • Experience with Python or other scripting languages.
  • Knowledge of DataBricks or other cloud data tools.
  • Exposure to Agile delivery environments.
Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory, DBT, and Snowflake.
  • Build and optimize SQL queries, data models, and transformations for analytics and reporting.
  • Implement and manage CI/CD pipelines in Azure DevOps to support automated deployment of data workflows.
  • Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver high-quality solutions.
  • Optimize data pipeline performance, reliability, and scalability across cloud environments.
  • Ensure best practices in coding standards, version control, testing, and documentation.
Qualifications
  • 7+ years of professional experience in data engineering or related roles.
  • Strong hands-on experience with Azure Data Factory (ADF).
  • Proficiency in DBT for transformations and modeling.
  • Advanced knowledge of SQL and data warehousing concepts.
  • Experience working with Snowflake as a cloud data platform.
  • Strong exposure to Azure DevOps, particularly CI/CD pipelines for data deployments.
  • Solid understanding of cloud architecture and data integration patterns.
  • Excellent communication, problem-solving, and collaboration skills.

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